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README.md
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license: apache-2.0
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data_files:
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- split: train
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path: data/train-*
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---
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license: apache-2.0
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language:
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- en
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tags:
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- math
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- reasoning
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- grpo
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- reinforcement-learning
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- cleaned
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- text-generation
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task_categories:
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- text-generation
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pretty_name: MATH Thinking (Cleaned)
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size_categories:
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- 10K-100K
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---
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# MATH Thinking (Cleaned)
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Dataset matematika yang sudah dibersihkan untuk melatih kemampuan penalaran (reasoning) model bahasa melalui Reinforcement Learning.
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## Deskripsi Dataset?
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Dataset ini adalah versi **bersih** dari dataset asli **`open-r1/DAPO-Math-17k-Processed`**. Dataset aslinya berisi **~17.000 soal matematika** yang menantang, lengkap dengan **jawaban akhir (ground truth)** yang bisa diverifikasi otomatis.
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Dataset ini dirancang khusus untuk **GRPO (Group Relative Policy Optimization)** — metode Reinforcement Learning yang melatih model untuk berpikir bertahap dalam menyelesaikan soal matematika.
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## Sumber Dataset Asli
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| Aspek | Detail |
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|-------|--------|
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| **Dataset Asli** | [`open-r1/DAPO-Math-17k-Processed`](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed) |
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| **Pembuat Asli** | Open-R1 |
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| **Lisensi Asli** | Apache 2.0 |
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| **Bahasa** | Inggris |
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| **Format** | Prompt + Ground Truth |
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Dataset ini merupakan **turunan** dari dataset asli tersebut. Kami melakukan proses cleaning untuk meningkatkan kualitas data, tanpa mengubah konten aslinya.
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## Fungsi Dataset Ini
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Dataset ini dirancang untuk:
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- **GRPO Training** — melatih model matematika dengan Reinforcement Learning
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- **Reasoning Enhancement** — meningkatkan kemampuan berpikir bertahap
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- **Math Problem Solving** — melatih model menyelesaikan soal matematika
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- **Verifiable Rewards** — jawaban bisa diverifikasi otomatis (cocok untuk RL)
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## Struktur Dataset
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Dataset ini memiliki **2 kolom**:
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| Kolom | Tipe | Deskripsi |
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|-------|------|-----------|
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| `prompt` | string | Soal matematika |
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| `ground_truth` | string | Jawaban akhir yang benar |
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### Contoh Data
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```json
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{
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"prompt": "Solve for x: 2x + 5 = 13",
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"ground_truth": "4"
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}
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```
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Proses Cleaning
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Dataset ini sudah dibersihkan melalui beberapa tahap:
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1. Hapus duplikat — menghilangkan prompt yang sama
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2. Filter panjang — buang data yang terlalu pendek atau terlalu panjang
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3. Filter ground truth kosong — buang data tanpa jawaban valid
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4. Filter konten toxic — buang data yang tidak pantas
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5. Normalisasi whitespace — rapikan format teks
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6. Filter prompt matematika — pastikan data benar-benar soal matematika
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Cara Menggunakan
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Load Dataset
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```python
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from datasets import load_dataset
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dataset = load_dataset("OpenPathAI/MATH-thinking")
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print(dataset["train"][0])
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```
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Untuk GRPO Training
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```python
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from datasets import load_dataset
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from trl import GRPOTrainer, GRPOConfig
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dataset = load_dataset("OpenPathAI/MATH-thinking", split="train")
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# Format untuk GRPO
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def format_dataset(row):
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return {
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"prompt": [{"role": "user", "content": row["prompt"]}],
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"answer": row["ground_truth"],
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}
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dataset = dataset.map(format_dataset)
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# Setup GRPO trainer
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config = GRPOConfig(
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output_dir="./output",
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num_train_epochs=1,
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per_device_train_batch_size=1,
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num_generations=4,
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max_completion_length=512,
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temperature=0.9,
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)
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trainer = GRPOTrainer(
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model=model,
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args=config,
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train_dataset=dataset,
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)
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trainer.train()
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```
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### Statistik
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Metrik Nilai
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- Total samples ~13.000
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- Bahasa Inggris
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- Format Prompt + Ground Truth
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- Lisensi Apache 2.0
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- Use Case GRPO / RL Training
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### Lisensi
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Dataset ini dilisensikan di bawah Apache License 2.0, mengikuti lisensi dataset asli dari Open-R1.
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### Sitasi
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Jika kamu menggunakan dataset ini, mohon sitasi dataset asli dan dataset turunan ini:
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```bibtex
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@misc{dapo-math-17k,
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author = {Open-R1},
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title = {DAPO-Math-17k-Processed},
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year = {2025},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed}}
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}
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@misc{math-thinking,
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author = {OpenPathAI},
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title = {MATH Thinking (Cleaned)},
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year = {2026},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/datasets/OpenPathAI/MATH-thinking}}
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}
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```
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Kontak
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- Organisasi: OpenPathAI
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- Hugging Face: https://huggingface.co/OpenPathAI
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- Website : https://openpath.web.id
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